{
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  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "房价:\t\n",
    "- SalePrice\n",
    "\n",
    "地理位置:\t\n",
    "- LotFrontage，\n",
    "- Street，\n",
    "- Alley，\n",
    "- LotShape，\n",
    "- LotConfig，\n",
    "- LandSlope，\n",
    "- LandContour，\n",
    "- Neighborhood，\n",
    "- Condition1，\n",
    "- Condition2，\n",
    "\n",
    "总体:\n",
    "- MSSubClass，\n",
    "- MSZoning，\n",
    "- BldgType，\n",
    "- HouseStyle，\n",
    "- OverallQual，\n",
    "- OverallCond\n",
    "\n",
    "局部:\n",
    "- RoofStyle，\n",
    "- RoofMatl，\n",
    "- Exterior1st，\n",
    "- Exterior2nd， \n",
    "- MasVnrType，\n",
    "- MasVnrArea，\n",
    "- ExterQual，\n",
    "- ExterCond，\n",
    "- Foundation\n",
    "\n",
    "卧室厨卫浴:\n",
    "- FullBath，\n",
    "- HalfBath，\n",
    "- Bedroom，\n",
    "- Kitchen，\n",
    "- KitchenQual，\n",
    "- TotRmsAbvGrd，\n",
    "- Functional，\n",
    "- Fireplaces，\n",
    "- FireplaceQu\n",
    "\n",
    "地下室:\n",
    "- BsmtQual，\n",
    "- BsmtCond，\n",
    "- BsmtExposure，\n",
    "- BsmtFinType1， \n",
    "- BsmtFinType2，\n",
    "- BsmtFullBath，\n",
    "- BsmtHalfBath\n",
    "\n",
    "车库:\n",
    "- GarageType，\n",
    "- GarageYrBlt，\n",
    "- GarageFinish，\n",
    "- GarageCars，\n",
    "- GarageArea，\n",
    "- GarageQual，\n",
    "- GarageCond\n",
    "\n",
    "水电气暖:\n",
    "- Utilities，\n",
    "- Heating，\n",
    "- HeatingQC，\n",
    "- CentralAir，\n",
    "- Electrical\n",
    "\n",
    "其它:\n",
    "- PoolQC，\n",
    "- Fence， \n",
    "- MiscFeature，\n",
    "- MiscVal\n",
    "\n",
    "面积:\n",
    "- LotArea，\n",
    "- 1stFlrSF，\n",
    "- 2ndFlrSF，\n",
    "- LowQualFinSF，\n",
    "- GrLivArea，\n",
    "- BsmtFinSF1，\n",
    "- BsmtFinSF2，\n",
    "- BsmtUnfSF，\n",
    "- TotalBsmtSF，\n",
    "- WoodDeckSF，\n",
    "- OpenPorchSF，\n",
    "- PoolArea，\n",
    "- 3SsnPorch，\n",
    "- EnclosedPorch，\n",
    "- ScreenPorch\n",
    "\n",
    "时间\t\n",
    "- MoSold，\n",
    "- YrSold，\n",
    "- YearBuilt，\n",
    "- YearRemodAdd\n",
    "\n",
    "出售:\n",
    "- SaleType，\n",
    "- SaleCondition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data():\n",
    "    train_df = pd.read_csv(\"./house/train.csv\", index_col='Id')\n",
    "    test_df = pd.read_csv(\"./house/test.csv\", index_col='Id')\n",
    "    return train_df, test_df\n",
    "\n",
    "train_df, test_df = get_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data = pd.concat([train_df, test_df], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2915</th>\n",
       "      <td>160</td>\n",
       "      <td>RM</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1936</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2916</th>\n",
       "      <td>160</td>\n",
       "      <td>RM</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1894</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2917</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>160.0</td>\n",
       "      <td>20000</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2918</th>\n",
       "      <td>85</td>\n",
       "      <td>RL</td>\n",
       "      <td>62.0</td>\n",
       "      <td>10441</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>Shed</td>\n",
       "      <td>700</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2919</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>74.0</td>\n",
       "      <td>9627</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2919 rows × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "Id                                                                      \n",
       "1             60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "2             20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "3             60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "4             70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "5             60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "...          ...      ...          ...      ...    ...   ...      ...   \n",
       "2915         160       RM         21.0     1936   Pave   NaN      Reg   \n",
       "2916         160       RM         21.0     1894   Pave   NaN      Reg   \n",
       "2917          20       RL        160.0    20000   Pave   NaN      Reg   \n",
       "2918          85       RL         62.0    10441   Pave   NaN      Reg   \n",
       "2919          60       RL         74.0     9627   Pave   NaN      Reg   \n",
       "\n",
       "     LandContour Utilities LotConfig  ... PoolArea PoolQC  Fence MiscFeature  \\\n",
       "Id                                    ...                                      \n",
       "1            Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "2            Lvl    AllPub       FR2  ...        0    NaN    NaN         NaN   \n",
       "3            Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "4            Lvl    AllPub    Corner  ...        0    NaN    NaN         NaN   \n",
       "5            Lvl    AllPub       FR2  ...        0    NaN    NaN         NaN   \n",
       "...          ...       ...       ...  ...      ...    ...    ...         ...   \n",
       "2915         Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "2916         Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "2917         Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "2918         Lvl    AllPub    Inside  ...        0    NaN  MnPrv        Shed   \n",
       "2919         Lvl    AllPub    Inside  ...        0    NaN    NaN         NaN   \n",
       "\n",
       "     MiscVal MoSold  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "Id                                                               \n",
       "1          0      2    2008        WD         Normal   208500.0  \n",
       "2          0      5    2007        WD         Normal   181500.0  \n",
       "3          0      9    2008        WD         Normal   223500.0  \n",
       "4          0      2    2006        WD        Abnorml   140000.0  \n",
       "5          0     12    2008        WD         Normal   250000.0  \n",
       "...      ...    ...     ...       ...            ...        ...  \n",
       "2915       0      6    2006        WD         Normal        NaN  \n",
       "2916       0      4    2006        WD        Abnorml        NaN  \n",
       "2917       0      9    2006        WD        Abnorml        NaN  \n",
       "2918     700      7    2006        WD         Normal        NaN  \n",
       "2919       0     11    2006        WD         Normal        NaN  \n",
       "\n",
       "[2919 rows x 80 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape[0] == train_df.shape[0]+test_df.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2919 entries, 1 to 2919\n",
      "Data columns (total 80 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   MSSubClass     2919 non-null   int64  \n",
      " 1   MSZoning       2915 non-null   object \n",
      " 2   LotFrontage    2433 non-null   float64\n",
      " 3   LotArea        2919 non-null   int64  \n",
      " 4   Street         2919 non-null   object \n",
      " 5   Alley          198 non-null    object \n",
      " 6   LotShape       2919 non-null   object \n",
      " 7   LandContour    2919 non-null   object \n",
      " 8   Utilities      2917 non-null   object \n",
      " 9   LotConfig      2919 non-null   object \n",
      " 10  LandSlope      2919 non-null   object \n",
      " 11  Neighborhood   2919 non-null   object \n",
      " 12  Condition1     2919 non-null   object \n",
      " 13  Condition2     2919 non-null   object \n",
      " 14  BldgType       2919 non-null   object \n",
      " 15  HouseStyle     2919 non-null   object \n",
      " 16  OverallQual    2919 non-null   int64  \n",
      " 17  OverallCond    2919 non-null   int64  \n",
      " 18  YearBuilt      2919 non-null   int64  \n",
      " 19  YearRemodAdd   2919 non-null   int64  \n",
      " 20  RoofStyle      2919 non-null   object \n",
      " 21  RoofMatl       2919 non-null   object \n",
      " 22  Exterior1st    2918 non-null   object \n",
      " 23  Exterior2nd    2918 non-null   object \n",
      " 24  MasVnrType     2895 non-null   object \n",
      " 25  MasVnrArea     2896 non-null   float64\n",
      " 26  ExterQual      2919 non-null   object \n",
      " 27  ExterCond      2919 non-null   object \n",
      " 28  Foundation     2919 non-null   object \n",
      " 29  BsmtQual       2838 non-null   object \n",
      " 30  BsmtCond       2837 non-null   object \n",
      " 31  BsmtExposure   2837 non-null   object \n",
      " 32  BsmtFinType1   2840 non-null   object \n",
      " 33  BsmtFinSF1     2918 non-null   float64\n",
      " 34  BsmtFinType2   2839 non-null   object \n",
      " 35  BsmtFinSF2     2918 non-null   float64\n",
      " 36  BsmtUnfSF      2918 non-null   float64\n",
      " 37  TotalBsmtSF    2918 non-null   float64\n",
      " 38  Heating        2919 non-null   object \n",
      " 39  HeatingQC      2919 non-null   object \n",
      " 40  CentralAir     2919 non-null   object \n",
      " 41  Electrical     2918 non-null   object \n",
      " 42  1stFlrSF       2919 non-null   int64  \n",
      " 43  2ndFlrSF       2919 non-null   int64  \n",
      " 44  LowQualFinSF   2919 non-null   int64  \n",
      " 45  GrLivArea      2919 non-null   int64  \n",
      " 46  BsmtFullBath   2917 non-null   float64\n",
      " 47  BsmtHalfBath   2917 non-null   float64\n",
      " 48  FullBath       2919 non-null   int64  \n",
      " 49  HalfBath       2919 non-null   int64  \n",
      " 50  BedroomAbvGr   2919 non-null   int64  \n",
      " 51  KitchenAbvGr   2919 non-null   int64  \n",
      " 52  KitchenQual    2918 non-null   object \n",
      " 53  TotRmsAbvGrd   2919 non-null   int64  \n",
      " 54  Functional     2917 non-null   object \n",
      " 55  Fireplaces     2919 non-null   int64  \n",
      " 56  FireplaceQu    1499 non-null   object \n",
      " 57  GarageType     2762 non-null   object \n",
      " 58  GarageYrBlt    2760 non-null   float64\n",
      " 59  GarageFinish   2760 non-null   object \n",
      " 60  GarageCars     2918 non-null   float64\n",
      " 61  GarageArea     2918 non-null   float64\n",
      " 62  GarageQual     2760 non-null   object \n",
      " 63  GarageCond     2760 non-null   object \n",
      " 64  PavedDrive     2919 non-null   object \n",
      " 65  WoodDeckSF     2919 non-null   int64  \n",
      " 66  OpenPorchSF    2919 non-null   int64  \n",
      " 67  EnclosedPorch  2919 non-null   int64  \n",
      " 68  3SsnPorch      2919 non-null   int64  \n",
      " 69  ScreenPorch    2919 non-null   int64  \n",
      " 70  PoolArea       2919 non-null   int64  \n",
      " 71  PoolQC         10 non-null     object \n",
      " 72  Fence          571 non-null    object \n",
      " 73  MiscFeature    105 non-null    object \n",
      " 74  MiscVal        2919 non-null   int64  \n",
      " 75  MoSold         2919 non-null   int64  \n",
      " 76  YrSold         2919 non-null   int64  \n",
      " 77  SaleType       2918 non-null   object \n",
      " 78  SaleCondition  2919 non-null   object \n",
      " 79  SalePrice      1460 non-null   float64\n",
      "dtypes: float64(12), int64(25), object(43)\n",
      "memory usage: 1.8+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据清洗\n",
    "## 缺失值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PoolQC          2909\n",
       "MiscFeature     2814\n",
       "Alley           2721\n",
       "Fence           2348\n",
       "SalePrice       1459\n",
       "FireplaceQu     1420\n",
       "LotFrontage      486\n",
       "GarageCond       159\n",
       "GarageYrBlt      159\n",
       "GarageFinish     159\n",
       "GarageQual       159\n",
       "GarageType       157\n",
       "BsmtExposure      82\n",
       "BsmtCond          82\n",
       "BsmtQual          81\n",
       "BsmtFinType2      80\n",
       "BsmtFinType1      79\n",
       "MasVnrType        24\n",
       "MasVnrArea        23\n",
       "MSZoning           4\n",
       "Functional         2\n",
       "BsmtHalfBath       2\n",
       "BsmtFullBath       2\n",
       "Utilities          2\n",
       "KitchenQual        1\n",
       "TotalBsmtSF        1\n",
       "BsmtUnfSF          1\n",
       "GarageCars         1\n",
       "GarageArea         1\n",
       "BsmtFinSF2         1\n",
       "BsmtFinSF1         1\n",
       "Exterior2nd        1\n",
       "Exterior1st        1\n",
       "SaleType           1\n",
       "Electrical         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def null_count(data):\n",
    "    \"\"\"\n",
    "    缺失值统计\n",
    "    \"\"\"\n",
    "    null_data = data.isnull().sum()\n",
    "#     print(type(null_data))\n",
    "    null_data = null_data[null_data>0].sort_values(ascending=False)\n",
    "    return null_data\n",
    "null_count(data)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# PoolQC          1453  有没有游泳池，空值应为没有游泳池\n",
    "# MiscFeature     1406  其他特征，空值即为没有\n",
    "# Alley           1369  有没有小巷子连接到房子， 空值即为没有的意思\n",
    "# Fence           1179  栅栏 空值即为没有的意思\n",
    "# FireplaceQu      690 壁炉，空值即为没有\n",
    "\n",
    "# 车库信息，空值即为没有\n",
    "# GarageType        81 \n",
    "# GarageYrBlt       81 \n",
    "# GarageFinish      81\n",
    "# GarageQual        81\n",
    "# GarageCond        81\n",
    "\n",
    "# LotFrontage      259  Linear feet of street connected to property\n",
    "# 应该是连接房子的街道的路宽\n",
    "\n",
    "\n",
    "# 地下室信息，空值即为没有\n",
    "# BsmtExposure      38\n",
    "# BsmtFinType2      38\n",
    "# BsmtFinType1      37\n",
    "# BsmtCond          37\n",
    "# BsmtQual          37\n",
    "\n",
    "# 墙砖类型  \n",
    "# MasVnrArea         8\n",
    "# MasVnrType         8\n",
    "# 电力信息，就一个可以考虑删掉\n",
    "# Electrical         1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PoolQC object\n",
      "MiscFeature object\n",
      "Alley object\n",
      "Fence object\n",
      "FireplaceQu object\n",
      "GarageType object\n",
      "GarageYrBlt float64\n",
      "GarageFinish object\n",
      "GarageQual object\n",
      "GarageCond object\n",
      "BsmtExposure object\n",
      "BsmtFinType2 object\n",
      "BsmtFinType1 object\n",
      "BsmtCond object\n",
      "BsmtQual object\n",
      "MasVnrArea float64\n",
      "MasVnrType object\n"
     ]
    }
   ],
   "source": [
    "# 进一步检查空值即为没有特征的数据类型\n",
    "not_exists = [\n",
    "    \"PoolQC\",\n",
    "    \"MiscFeature\",\n",
    "    \"Alley\" ,\n",
    "    \"Fence\" , \n",
    "    \"FireplaceQu\",\n",
    "    \n",
    "    \"GarageType\",\n",
    "    \"GarageYrBlt\",\n",
    "    \"GarageFinish\",\n",
    "    \"GarageQual\",\n",
    "    \"GarageCond\",\n",
    "    \n",
    "    \"BsmtExposure\",\n",
    "    \"BsmtFinType2\",\n",
    "    \"BsmtFinType1\",\n",
    "    \"BsmtCond\",\n",
    "    \"BsmtQual\",\n",
    "    \"MasVnrArea\",\n",
    "    \"MasVnrType\"\n",
    "]\n",
    "for col in not_exists:\n",
    "    print(col, train_df[col].dtype)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice       1459\n",
       "LotFrontage      486\n",
       "GarageYrBlt      159\n",
       "MasVnrArea        23\n",
       "MSZoning           4\n",
       "BsmtFullBath       2\n",
       "BsmtHalfBath       2\n",
       "Functional         2\n",
       "Utilities          2\n",
       "Exterior2nd        1\n",
       "BsmtFinSF1         1\n",
       "BsmtFinSF2         1\n",
       "BsmtUnfSF          1\n",
       "TotalBsmtSF        1\n",
       "Exterior1st        1\n",
       "KitchenQual        1\n",
       "GarageCars         1\n",
       "GarageArea         1\n",
       "SaleType           1\n",
       "Electrical         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 除了GarageYrBlt，MasVnrArea 是float， 其余都是object,将其填充为\"None\"，\n",
    "def null_fill(df, columns, fill_value):\n",
    "    \"\"\"\n",
    "    填充空值\n",
    "    \"\"\"\n",
    "    result = df.copy(deep=True)\n",
    "    for col in columns:\n",
    "        result[col].fillna(fill_value, inplace=True)\n",
    "        \n",
    "    return result\n",
    "fill_none_cols = [i for i in not_exists if i not in [\"GarageYrBlt\", \"MasVnrArea\"]]\n",
    "data = null_fill(data, fill_none_cols, 'None')\n",
    "        \n",
    "null_count(data)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>MasVnrArea</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2760.000000</td>\n",
       "      <td>2896.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1978.113406</td>\n",
       "      <td>102.201312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>25.574285</td>\n",
       "      <td>179.334253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1895.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1960.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1979.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2002.000000</td>\n",
       "      <td>164.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2207.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       GarageYrBlt   MasVnrArea\n",
       "count  2760.000000  2896.000000\n",
       "mean   1978.113406   102.201312\n",
       "std      25.574285   179.334253\n",
       "min    1895.000000     0.000000\n",
       "25%    1960.000000     0.000000\n",
       "50%    1979.000000     0.000000\n",
       "75%    2002.000000   164.000000\n",
       "max    2207.000000  1600.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[\"GarageYrBlt\", \"MasVnrArea\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 没有车库的建造年份填充为0\n",
    "# 没有墙砖的墙砖面积填充为0\n",
    "data[\"GarageYrBlt\"].fillna(0,inplace=True)\n",
    "data[\"MasVnrArea\"].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice       1459\n",
       "LotFrontage      486\n",
       "MSZoning           4\n",
       "Utilities          2\n",
       "BsmtFullBath       2\n",
       "BsmtHalfBath       2\n",
       "Functional         2\n",
       "Exterior1st        1\n",
       "Exterior2nd        1\n",
       "BsmtFinSF1         1\n",
       "BsmtFinSF2         1\n",
       "BsmtUnfSF          1\n",
       "TotalBsmtSF        1\n",
       "KitchenQual        1\n",
       "GarageCars         1\n",
       "GarageArea         1\n",
       "SaleType           1\n",
       "Electrical         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_count(data)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MSZoning          4  出售的房屋空间的分区分级\n",
    "# Utilities         2  表示房子里提供的水电设施，空值可能表示没有任何水电气设施\n",
    "\n",
    "# 表示地下室全部作为浴室还是一半作为浴室，缺失值可能是因为无地下室\n",
    "# BsmtFullBath      2\n",
    "# BsmtHalfBath      2\n",
    "# 表示地下室某种面积\n",
    "# BsmtFinSF1        1\n",
    "# BsmtFinSF2        1\n",
    "# BsmtUnfSF         1\n",
    "# TotalBsmtSF       1\n",
    "\n",
    "# Functional        2  表示房子的实用性 空值表示typical\n",
    "\n",
    "# Exterior1st       1  房子外观\n",
    "# Exterior2nd       1\n",
    "\n",
    "# GarageCars        1\n",
    "# GarageArea        1\n",
    "\n",
    "# KitchenQual       1\n",
    "# KitchenQual: Kitchen quality\n",
    "\n",
    "#        Ex   Excellent\n",
    "#        Gd   Good\n",
    "#        TA   Typical/Average\n",
    "#        Fa   Fair\n",
    "#        Po   Poor\n",
    "# SaleType          1\n",
    "# SaleType: Type of sale\n",
    "#        WD   Warranty Deed - Conventional\n",
    "#        CWD  Warranty Deed - Cash\n",
    "#        VWD  Warranty Deed - VA Loan\n",
    "#        New  Home just constructed and sold\n",
    "#        COD  Court Officer Deed/Estate\n",
    "#        Con  Contract 15% Down payment regular terms\n",
    "#        ConLw  Contract Low Down payment and low interest\n",
    "#        ConL   Contract Low Interest\n",
    "#        ConLD  Contract Low Down\n",
    "#        Oth  Other\n",
    "# SaleType，KitchenQual ,MSZoning 用众数填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def fill_na_mode(df, cols):\n",
    "    \"\"\"\n",
    "    用众数填充空值\n",
    "    \"\"\"\n",
    "    for col in cols:\n",
    "        df[col].fillna(df[col].mode()[0], inplace=True)\n",
    "fill_na_mode(data, [\"SaleType\", \"KitchenQual\", \"MSZoning\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice       1459\n",
       "LotFrontage      486\n",
       "Utilities          2\n",
       "BsmtFullBath       2\n",
       "BsmtHalfBath       2\n",
       "Functional         2\n",
       "Exterior1st        1\n",
       "Exterior2nd        1\n",
       "BsmtFinSF1         1\n",
       "BsmtFinSF2         1\n",
       "BsmtUnfSF          1\n",
       "TotalBsmtSF        1\n",
       "Electrical         1\n",
       "GarageCars         1\n",
       "GarageArea         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_count(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2919 entries, 1 to 2919\n",
      "Data columns (total 11 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   Utilities     2917 non-null   object \n",
      " 1   BsmtFullBath  2917 non-null   float64\n",
      " 2   BsmtHalfBath  2917 non-null   float64\n",
      " 3   Exterior1st   2918 non-null   object \n",
      " 4   Exterior2nd   2918 non-null   object \n",
      " 5   BsmtFinSF1    2918 non-null   float64\n",
      " 6   BsmtFinSF2    2918 non-null   float64\n",
      " 7   BsmtUnfSF     2918 non-null   float64\n",
      " 8   TotalBsmtSF   2918 non-null   float64\n",
      " 9   GarageCars    2918 non-null   float64\n",
      " 10  GarageArea    2918 non-null   float64\n",
      "dtypes: float64(8), object(3)\n",
      "memory usage: 273.7+ KB\n"
     ]
    }
   ],
   "source": [
    "cols = [\n",
    "    \"Utilities\",\n",
    "    \"BsmtFullBath\" ,\n",
    "    \"BsmtHalfBath\",\n",
    "    \"Exterior1st\",\n",
    "    \"Exterior2nd\",\n",
    "    \"BsmtFinSF1\",\n",
    "    \"BsmtFinSF2\",\n",
    "    \"BsmtUnfSF\",\n",
    "    \"TotalBsmtSF\",\n",
    "    \"GarageCars\",\n",
    "    \"GarageArea\"\n",
    "]\n",
    "data[cols].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Utilities\n",
       "AllPub       2916\n",
       "NoSeWa          1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[\"Utilities\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Exterior1st\n",
       "VinylSd        1025\n",
       "MetalSd         450\n",
       "HdBoard         442\n",
       "Wd Sdng         411\n",
       "Plywood         221\n",
       "CemntBd         126\n",
       "BrkFace          87\n",
       "WdShing          56\n",
       "AsbShng          44\n",
       "Stucco           43\n",
       "BrkComm           6\n",
       "AsphShn           2\n",
       "CBlock            2\n",
       "Stone             2\n",
       "ImStucc           1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[\"Exterior1st\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Exterior2nd\n",
       "VinylSd        1014\n",
       "MetalSd         447\n",
       "HdBoard         406\n",
       "Wd Sdng         391\n",
       "Plywood         270\n",
       "CmentBd         126\n",
       "Wd Shng          81\n",
       "BrkFace          47\n",
       "Stucco           47\n",
       "AsbShng          38\n",
       "Brk Cmn          22\n",
       "ImStucc          15\n",
       "Stone             6\n",
       "AsphShn           4\n",
       "CBlock            3\n",
       "Other             1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[[\"Exterior2nd\"]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# [\"Utilities\",\"Exterior2nd\",\"Exterior1st\"] 用'None'填充空值\n",
    "data = null_fill(data, [\"Utilities\",\"Exterior2nd\",\"Exterior1st\"], 'None')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2917.000000</td>\n",
       "      <td>2917.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "      <td>2918.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.429894</td>\n",
       "      <td>0.061364</td>\n",
       "      <td>441.423235</td>\n",
       "      <td>49.582248</td>\n",
       "      <td>560.772104</td>\n",
       "      <td>1051.777587</td>\n",
       "      <td>1.766621</td>\n",
       "      <td>472.874572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.524736</td>\n",
       "      <td>0.245687</td>\n",
       "      <td>455.610826</td>\n",
       "      <td>169.205611</td>\n",
       "      <td>439.543659</td>\n",
       "      <td>440.766258</td>\n",
       "      <td>0.761624</td>\n",
       "      <td>215.394815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>793.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>320.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>368.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>467.000000</td>\n",
       "      <td>989.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>480.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>733.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>805.500000</td>\n",
       "      <td>1302.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>576.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>1526.000000</td>\n",
       "      <td>2336.000000</td>\n",
       "      <td>6110.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1488.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       BsmtFullBath  BsmtHalfBath   BsmtFinSF1   BsmtFinSF2    BsmtUnfSF  \\\n",
       "count   2917.000000   2917.000000  2918.000000  2918.000000  2918.000000   \n",
       "mean       0.429894      0.061364   441.423235    49.582248   560.772104   \n",
       "std        0.524736      0.245687   455.610826   169.205611   439.543659   \n",
       "min        0.000000      0.000000     0.000000     0.000000     0.000000   \n",
       "25%        0.000000      0.000000     0.000000     0.000000   220.000000   \n",
       "50%        0.000000      0.000000   368.500000     0.000000   467.000000   \n",
       "75%        1.000000      0.000000   733.000000     0.000000   805.500000   \n",
       "max        3.000000      2.000000  5644.000000  1526.000000  2336.000000   \n",
       "\n",
       "       TotalBsmtSF   GarageCars   GarageArea  \n",
       "count  2918.000000  2918.000000  2918.000000  \n",
       "mean   1051.777587     1.766621   472.874572  \n",
       "std     440.766258     0.761624   215.394815  \n",
       "min       0.000000     0.000000     0.000000  \n",
       "25%     793.000000     1.000000   320.000000  \n",
       "50%     989.500000     2.000000   480.000000  \n",
       "75%    1302.000000     2.000000   576.000000  \n",
       "max    6110.000000     5.000000  1488.000000  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = [\n",
    "    \"BsmtFullBath\" ,\n",
    "    \"BsmtHalfBath\",\n",
    "    \"BsmtFinSF1\",\n",
    "    \"BsmtFinSF2\",\n",
    "    \"BsmtUnfSF\",\n",
    "    \"TotalBsmtSF\",\n",
    "    \"GarageCars\",\n",
    "    \"GarageArea\"\n",
    "]\n",
    "data[cols].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#  [\n",
    "#     \"BsmtFullBath\" ,\n",
    "#     \"BsmtHalfBath\",\n",
    "#     \"BsmtFinSF1\",\n",
    "#     \"BsmtFinSF2\",\n",
    "#     \"BsmtUnfSF\",\n",
    "#     \"TotalBsmtSF\",\n",
    "#     \"GarageCars\",\n",
    "#     \"GarageArea\"\n",
    "# ]\n",
    "# 用0填充空值\n",
    "data = null_fill(data, cols, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice      1459\n",
       "LotFrontage     486\n",
       "Functional        2\n",
       "Electrical        1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_count(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Typ     2717\n",
       "Min2      70\n",
       "Min1      65\n",
       "Mod       35\n",
       "Maj1      19\n",
       "Maj2       9\n",
       "Sev        2\n",
       "Name: Functional, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"Functional\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Functional用'Typ'填充\n",
    "data[\"Functional\"].fillna('Typ', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Electrical 用众数填充\n",
    "data[\"Electrical\"].fillna(data[\"Electrical\"].mode()[0], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice      1459\n",
       "LotFrontage     486\n",
       "dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_count(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# LotFrontage\n",
    "# Neighborhood:艾姆斯市范围内的实际位置\n",
    "# LotFrontage应该与Neighborhood有关"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 填充LotFrontage\n",
    "def fill_lotfront(data):\n",
    "    df = data.copy(deep=True)\n",
    "    df['LotFrontage1'] = data.groupby(\"Neighborhood\")[\"LotFrontage\"].transform(\n",
    "    lambda x: x.fillna(x.median()))    \n",
    "    df.drop(\"LotFrontage\", axis=1, inplace=True)\n",
    "    return df\n",
    "df = fill_lotfront(data)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalePrice    1459\n",
       "dtype: int64"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_count(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  增加特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 增加特征 TotalSF 地下室、一层、二层面积之和\n",
    "df['TotalSF'] = df['TotalBsmtSF'] + df['1stFlrSF'] + df['2ndFlrSF']  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 偏态数据处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_feats(df, type_=\"object\"):\n",
    "    \"\"\"\n",
    "    获取某一类型的全部特征\n",
    "    \"\"\"\n",
    "    ans = []\n",
    "    for col in df.columns:\n",
    "        if df[col].dtype==type_:\n",
    "            ans.append(col)\n",
    "    return ans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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kDnnkLkkLYJi/qGHh/qr2yF2SOmS4S1KHDHdJ6pDhLkkdWpAvVJNcBNwIHAV8rqquX4j9jIOnHUo6HIz8yD3JUcAfARcDZwIfSXLmqPcjSdq/hThyfy+wtaqeBUjyJWAN8OQC7GvspxtJ0qEog9uejvAFk8uAi6rqX7bljwLnVdVv7DVuPbC+LZ4BPD3SQhbfKcD3xl3EIcTP401+Fnvy89jTfD6Pn6qqiX2tGNuPmKpqA7BhXPsftSRTVTU57joOFX4eb/Kz2JOfx54W6vNYiLNldgArZiwvb32SpEWyEOH+TWBVktOTHANcAWxagP1IkvZj5NMyVfVGkt8A/oTBqZCfr6onRr2fQ1A3U0wj4ufxJj+LPfl57GlBPo+Rf6EqSRo/f6EqSR0y3CWpQ4b7PCVZkeSBJE8meSLJteOuadySHJXkW0m+Ou5axi3JkiR3Jfl2kqeSvG/cNY1Tkk+0fyePJ7kjybHjrmmxJPl8kl1JHp/Rd1KS+5I8055PHNX+DPf5ewP4rao6EzgfuMbLLXAt8NS4izhE3Ah8rareBZzFEfy5JFkG/CYwWVU/zeCEiyvGW9Wi+iJw0V591wGbq2oVsLktj4ThPk9VtbOqHm7tv2Lwj3fZeKsanyTLgV8EPjfuWsYtyQnA+4FbAKrqb6rqlbEWNX5HA29PcjRwHPB/x1zPoqmqPwe+v1f3GmBja28ELh3V/gz3EUqyEjgH2DLmUsbpD4HfBv5uzHUcCk4HpoEvtGmqzyU5ftxFjUtV7QB+H9gG7ARerao/HW9VY7e0qna29gvA0lG9sOE+IkneAfwx8PGq+sG46xmHJL8E7Kqqh8ZdyyHiaOBc4OaqOgf4ISP8s/tw0+aT1zD4T+8ngeOT/Mp4qzp01OC89JGdm264j0CStzII9tuq6u5x1zNGFwAfTPJd4EvAhUn+63hLGqvtwPaq2v2X3F0Mwv5I9fPAX1bVdFX9CLgb+CdjrmncXkxyKkB73jWqFzbc5ylJGMypPlVVfzDuesapqn6nqpZX1UoGX5TdX1VH7JFZVb0APJ/kjNa1mgW69PVhYhtwfpLj2r+b1RzBXzA3m4C1rb0WuGdUL2y4z98FwEcZHKU+0h6XjLsoHTI+BtyW5FHgbOAz4y1nfNpfMHcBDwOPMcifI+ZSBEnuAP43cEaS7UnWAdcDH0jyDIO/bEZ21zovPyBJHfLIXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7DjtJlie5p11J7ztJbmy3dFzIff51e16511X9fjbJN9pVH59O8m9GsR9pvgx3HVbaj1/uBv57u5LePwbeAfyHeb7unG85meQfAbcDv96u+ngBsC7Jh+ZTizQKhrsONxcCr1fVFwCq6m+BTwC/1o6g3717YJKvJ5lMcny7lvY32gW81rT1v5pkU5L7gc1J3pFkc5KHkzy2e9wBXAN8ccZVQb/H4KJp/7a9/heTXDajnt1H/3PdjzRnI79BtrTA3g3scWGyqvpBkm3A/wAuBz7drtNxalVNJfkMg0sh/FqSJcA3kvxZ2/xc4Geq6vvt6P1D7fVOAR5Msqn2/0u/d/Pm5Vp3mwJmu57/63PcjzRnHrmrJ18Hdh8pX87gp+4AvwBcl+SRNuZY4LS27r6q2n2N7QCfaZcK+DMG1+Uf2SVYZ1is/egI5pG7DjdP8maAA5DkJxiE9TeBl5L8DPAvgF/fPQT451X19F7bncfgMry7/TIwAbynqn7Urm55oNvAPQm8hz0v9vQeBkfvMLhL11vavt4C7P7Sd677kebMI3cdbjYDxyW5Cgb3awX+I4O579eALzOY9z6hqh5t2/wJ8LH2ZSxJztnPa5/A4Hr0P0ryc8BPzVLLHwG/muTs9ronM/hi9/fa+u8yCHuADwJvPcj9SHNmuOuw0ualPwR8uF1J7/8wmMP+3TbkLgaXG75zxma/xyBYH03yBG+G795uAyaTPAZcBXx7llp2Ar8CbEjyNINbxt1UVf+zDfnPwD9N8hfA+3jzr4Q57Uc6GF4VUhqRdo77vwbeX1Uvj7seHdkMd0nqkNMyktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUP/H8I9bukFYrRLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0TV9xWFd8GpKcmOQrSR5Icn+SN8y3bZnk37Z/q/cl+VKS44/2bZlkfZI9Se4bqk17uyVZ29o/lGTt4egLzMPQn2ePetgHfLCqTgXOBi5vfbkS2FJVq4AtbRwGfV7VXuuAa+d+lWfs/cD9Q+MfB66pqtcCTwOXtfplwNOtfk1rd7T4L8CfV9UvAqcx6O+82ZZJlgL/Bhipqn/O4GKNizn6t+XngTX71aa13ZKcBFzN4GbUM4Grx74o5lxVzasX8Abg1qHxq4CrDvd6zVLfbgbeCjwILGm1JcCDbfhPgEuG2v+k3ZH8YnC/xhbgXOAWIAxublmw/zZlcOXXG9rwgtYuh7sPU+jjCcAj+6/rfNqWvHDH/Ult29wCnD8ftiWwArhvptsNuAT4k6H6i9rN5Wve7ekz/qMelh6mdZk17afv6cAdwOKq2t0mPQEsbsNHa9//CPh3wPNt/JXAD6pqXxsf7sdP+timP9PaH+lWAnuBz7XDWP8tycuZR9uyqnYBfwh8F9jNYNtsY/5tS5j+djtitud8DP15J8krgK8CH6iqHw5Pq8Fuw1F7CVaSXwH2VNW2w70uh9gC4Azg2qo6Hfi/vHBIAJgX23IhgwcorgReDbycnz4sMu8cbdttPob+pI96OJokOZZB4H+hqr7Wyk8mWdKmLwH2tPrR2Pc3Ar+W5FEGT109l8Gx7xOTjN1HMtyPn/SxTT8B+P5crvAM7QR2VtUdbfwrDL4E5tO2/FfAI1W1t6r+Efgag+0737YlTH+7HTHbcz6G/rx51EOSANcD91fVJ4cmbQTGzv6vZXCsf6z+nnYFwdnAM0M/QY9IVXVVVS2rqhUMttVfVtVvArcB72jN9u/jWN/f0dof8XtZVfUE8HiSf9ZKbwF2MI+2JYPDOmcneVn7tzvWx3m1LZvpbrdbgfOSLGy/iM5rtbl3uE+QHKKTLhcC/wf4DvDvD/f6HEQ/3sTgZ+M9wN3tdSGD455bgIeAvwBOau3D4Mql7wD3MriK4rD3Yxr9PQe4pQ3/HHAnMAr8d+C4Vj++jY+26T93uNd7Gv1bDWxt2/PPgIXzbVsCHwYeAO4D/hQ47mjflsCXGJyj+EcGv9gum8l2A3679XUUuPRw9cc7ciWpI/Px8I4kaQKGviR1xNCXpI4Y+pLUEUNfkjpi6Ouok+RHs7y8de3Jlw8k2ZrknINY1jlDTwp9b5K9Se5urxuS/FomefJrkpe0JzXel+TeJHclWdmmPdpqY8v8FzNdV/Vpzv9ylnQkaY+BeB/wpqr6XnsU7sYkZ9XgWTIH68tVdcV+tcluFvwNBo8xeH1VPZ9kGYPHNoz55ar63iysmzrknr7mhSSrk9zenmH+9Xbn46uSbGvTT0tSSU5p499J8jLgd4HfGQvRqvo28Dng8tbu0SQnt+GRJH/Vhs9M8rft4WnfGrrTdrL1fG+ST7fhz7c9+m8leTjJ2F2rS4DdVfV8W6edVfX0rPyHUvcMfc0XNwC/W1WvZ3An5NVVtQc4Psk/Ad7M4G7YNyd5DYOHvP0YeB2DJ0EO28rgbzEcyAPAm2vw8LT/CPznCdr9xtChmEvHmb6EwZ3XvwJ8rNVuAn61zfOJJKfvN89tbdodSNPk4R0d9ZKcAJxYVX/dShsY3N4P8C0GD/36lwyCeQ2DW+X/5iA/9gRgQ5JVDB6VcewE7V50eCfJe/eb/mdtj35HksUw2LNvvxzOba8tSX69qra0eTy8oxlzT1/z3TcY7OW/hsFDsU5jsGc9Fvo7gF/ab55fYrC3D4O/Xjb2/8nxQ20+AtxWg78Q9av7TZuOZ4eGMzZQVc9W1f+sqt9h8GX1thkuX3oRQ19Hvap6Bng6yZtb6d3A2F7/3wC/BTzU9qifYvDQum+26X8AfDzJK2FwbgB4O4O/bATwKC98KfzroY89gRcejfve2esNJDkjyavb8EuA1wOPzeZnqF8e3tHR6GVJdg6Nf5LB423/azs5+zBwKUBVPdoe8/uN1vabwLKxE6NVtbEF7P9uz3T/p8BpVbW3tf8wcH2SjwB/NfSZf8Dg8M5/AP7HLPfvVcBnkxzXxu8EPj3Ln6FO+ZRNqWmh/zkGv4B/q/yfQ/OQoS9JHfGYviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHfn/pvYZjJZZh8IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Vfa2Mfa2Mfa1Mb33N+/DOHuDYwfNjWk2SNAfzDv2vAuuTHJ/k0cAm4Io59yBJ3Zrr4Z2qui/J+cBnGV2yubWqrp/hS058iGhG7Gtl7Gtl7GtluuorVTWL9UqSHob8RK4kdcTQl6SOPCJDP8lpSW5IsivJm5aZf1iSj7b5VydZN5j35la/Icmpc+7rD5N8M8nOJFcledJg3v1JdrTHVE9uj9HXOUn2DV7/Xw7mnZ3kxvY4e859vXvQ03eS/M1g3iy319YkdyS5bj/zk+TC1vfOJM8czJvl9jpYX69u/Vyb5MtJnj6Yd2ur70iyMOe+Tknyw8G/178fzDvge2DGff3bQU/XtffU4W3eLLfXsUm+2LLg+iR/sMyY2b3HquoR9WB0Avgm4ATg0cA3gBOXjHkD8N42vQn4aJs+sY0/DDi+reeQOfb1QuCX2/S/WuyrPb/nIdxe5wDvWWbZw4Gb29c1bXrNvPpaMv5fMzrxP9Pt1db9AuCZwHX7mX8G8BkgwHOAq2e9vcbs67mLr8foVidXD+bdChzxEG2vU4BPT/oemHZfS8a+FPjCnLbXUcAz2/Tjge8s839yZu+xR+Ke/ji3cjgT+FCb/jjwoiRp9Uur6t6qugXY1dY3l76q6otV9eP2dDujzynM2iS3vjgV2FZVd1XVD4BtwGkPUV9nAZdM6bUPqKq+BNx1gCFnAhfXyHbgiUmOYrbb66B9VdWX2+vC/N5f42yv/ZnpbVlW2Nc83197q+prbfpHwLcY3a1gaGbvsUdi6C93K4elG+znY6rqPuCHwK+Ouews+xo6l9FP8kW/lGQhyfYkL59STyvp65+2XyM/nmTxA3QPi+3VDoMdD3xhUJ7V9hrH/nqf5fZaqaXvrwI+l+SajG5zMm+/leQbST6T5KRWe1hsryS/zCg4Lx+U57K9Mjr0/Azg6iWzZvYee1jehuFvuyT/AtgI/Pag/KSq2pPkBOALSa6tqpvm1NL/AC6pqnuTvI7Rb0n/cE6vPY5NwMer6v5B7aHcXg9rSV7IKPSfNyg/r22vXwO2Jfl22xOeh68x+ve6J8kZwCeB9XN67XG8FPjfVTX8rWDm2yvJ4xj9oHljVd09zXUfyCNxT3+cWzn8fEySQ4FfAe4cc9lZ9kWSFwNvBV5WVfcu1qtqT/t6M/CXjH76z6Wvqrpz0Mv7gWeNu+ws+xrYxJJfvWe4vcaxv94f8tuMJPlNRv+GZ1bVnYv1wfa6A/gE0zuseVBVdXdV3dOmrwQeleQIHgbbqznQ+2sm2yvJoxgF/oer6s+XGTK799gsTlTM8sHot5ObGf26v3jy56QlY87jgSdyL2vTJ/HAE7k3M70TueP09QxGJ67WL6mvAQ5r00cANzKlE1pj9nXUYPoVwPb6xUmjW1p/a9r04fPqq417KqOTapnH9hq8xjr2f2LyH/HAk2xfmfX2GrOv4xidp3rukvpjgccPpr8MnDbHvv7u4r8fo/D8Xtt2Y70HZtVXm/8rjI77P3Ze26t97xcD/+UAY2b2Hpvaxp3ng9GZ7e8wCtC3tto7GO09A/wS8LH2H+ArwAmDZd/alrsBOH3OfX0euB3Y0R5XtPpzgWvbm/5a4Nw59/Ufgevb638ReOpg2d9r23EX8Np59tWevx1455LlZr29LgH2Aj9ldMz0XOD1wOvb/DD6Y0A3tdffOKftdbC+3g/8YPD+Wmj1E9q2+kb7d37rnPs6f/D+2s7gh9Jy74F59dXGnMPo4o7hcrPeXs9jdM5g5+Df6ox5vce8DYMkdeSReExfkrRKhr4kdcTQl6SOGPqS1BFDX5I6YuirC0nuWfL8nCTvOcgyPx+TZG1Gd2z9epLnL7kL47VJDnrPmCRvGUyv29/dH6VZMvSl8bwIuLaqnlFV/7PVXlhVG4B/Blw4xjrecvAh0mwZ+upekpcO9uI/n+TIJfM3AH8MnNn27B+zZBVPYPShqMXxn2w36rp+8WZdSd4JPKYt/+E29JAk72vjPrfMeqWp88NZ6kKS+xl9snHR4Yw+EX1+kjXA31RVZfQHZP5eVf1RknMYfRLy/OF0W9+twI8YfXLyBOCVVfXpNu/wqrqrhfhXgd+uqjuT3FNVj2tj1jH6ROXGqtqR5LLWz3+f9bZQ37zLpnrxk3YoBhgdr2d0p1MY3bTqo+1+5Y9mdD+Tcbywqr6f5MnAVUn+skY3Fvs3SV7RxhzL6I6Sdy6z/C1VtaNNX8PoPjHSTHl4R4L/xugvh/194HWM7t00thrd0vl24MQkpwAvBn6rqp4OfP0A67t3MH0/7oRpDgx9aXSnxcXb05690oXbPdePB77b1vWDqvpxkqcyukPiop+2W+pKDxlDXxrdyfNjSa4Bvr+C5b6YZAejO5O+qapuB/4CODTJt4B3Mrqr5KItwM7BiVxp7jyRK0kdcU9fkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SO/H9Wv+TvVa2TKQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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z9DbX+o+15+M4oc9C+yv87wP/aVw9H6/f9n7XAfcebxnj3sZnYjAc67Ybx/tFPDFJ1gCvBx5upZvb7viWwe7dXP1Pcr0K+EKSRzO6RQnAyqo60KZfAFZOUb9D19P/TzSt23jWuLbrqjZ9dH2p/Tqjv05nXZTkfyT5r0l+vtWO19tc678UxvFZ+GvA/xwE41Jv558HDlbV3kFtybfxmRgMUynJq4HPAO+qqheBO4DXAuuBA4x2F6fFG6rqYkZ3wb0pyS8MX2x/kUzddc7tWO+bgE+30jRv4x8xrdt1LkneA7wEfKKVDgCvqarXA/8C+GSSH1/o8pZ4/U+rz8LADfR/6ExkG5+JwTB1t91I8gpGofCJqvosQFUdrKrvV9VfAB9jtOsKc/c/sfWqqv3t5yHgc623g213dXa39dC09DtwNfBYVR2E6d7GA+ParvvpD+ksae9Jfg34ZeCt7ZcN7XDMN9v0o4yO0f/kPL3Ntf5jNcbPwjcZHdZbdlR97Np7/CPgU4P1mMg2PhODYapuu9GOEX4ceKqqPjSoXzAY9mZg9oqErcD1Sc5OchGwltFJpYmsV5JXJTlndprRicbd7b1mr4DZBHx+0O+NGbkM+HbbbX0AuCLJ8rbbfkWrLaXur6tp3cZHGct2ba+9mOSy9pm7cbCssUpyFfAvgTdV1XcH9RUZ/ZsrJPkJRtv1mXl6m2v9x93zWD4LLQS/CPzKUvcM/APgK1X1g0NEE9vGJ3L2/HR5MLqi46uM0vQ9p7iXNzDaddsF7GyPa4A/Ap5o9a3ABYN53tN6f5rBlSWTWC9GV2E83h57Zt+H0bHVB4G9wJ8A57V6GP3jS19r67NhsKxfZ3QybwZ42xJv51cx+mvurw5qU7WNGYXWAeD/MToG/PZxbldgA6NfeF8D/pB2Z4Ml6HmG0fH32c/zR9vYf9w+MzuBx4B/OF9vc63/EvQ8ts9C+3/ky207fBo4e9z9tvpdwG8eNXYi29hbYkiSOmfioSRJ0iIYDJKkjsEgSeoYDJKkjsEgSeoYDHrZSVJJ/uPg+bIkh5P8cXv+ppzgnVWT3Jrk3xxVW5/kqePMc1uS3z7R/qWlZjDo5eh/Az+V5C+357/I4NurVbW1qt5/gsu8F/inR9WOvm+TdFowGPRytQ34pTZ99Demfy3JH7bpf5Jkd5LHk3yp1c5K8oFW35Xkn1fVV4FvJbl08B7XAfcm+Y0kj7RlfCbJX5nMKkonx2DQy9V9jG6F8JeAn+aHd7w92nuBK6vqZxjdoA9gM6P74q+vqp/mhzeRu5fRXgLtNhZHanRXzM9W1d9uy3iK0TdxpallMOhlqap2MfrlfgOjvYe5/BlwV5LfYPSPt8DoHjb/vtqtl6tq9l76nwJ+JcmP0R9G+qkk/y3JE8BbgdeNc12kcVs2/xDpjLUV+ABwOaP7yfyIqvrNdnjol4BHk/zsXAurqueTfB34u4zuafN32kt3AddW1ePtrqSXj6l/aUm4x6CXsy3Av66qJ+YakOS1VfVwVb0XOMzoVszbgXfM3no5yXmDWe4FPszojpezd8U8BzjQbr/+1iVYD2msDAa9bFXVvqq6fZ5hf5DRP7C+G/jvjO46+x+AbwC7kjwOvGUw/tOMDhUNr0b6V4zOYfwZ8JVx9S8tFe+uKknquMcgSeoYDJKkjsEgSeoYDJKkjsEgSeoYDJKkjsEgSer8fzmuO+rzfB1uAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "int_feats = get_feats(df, 'int64')\n",
    "\n",
    "for feat in int_feats:\n",
    "    sns.distplot(df[feat],kde=False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['LotArea',\n",
       " '1stFlrSF',\n",
       " '2ndFlrSF',\n",
       " 'LowQualFinSF',\n",
       " 'GrLivArea',\n",
       " 'BedroomAbvGr',\n",
       " 'KitchenAbvGr',\n",
       " 'TotRmsAbvGrd',\n",
       " 'Fireplaces',\n",
       " 'WoodDeckSF',\n",
       " 'OpenPorchSF',\n",
       " 'EnclosedPorch',\n",
       " '3SsnPorch',\n",
       " 'ScreenPorch',\n",
       " 'PoolArea',\n",
       " 'MiscVal']"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MSSubClass：建筑类\n",
    "# OverallQual：评估房屋的整体材料和装饰\n",
    "# OverallCond：评估房屋的整体状况\n",
    "# YearBuilt建造年份\n",
    "# YearRemodAdd重塑年份\n",
    "# FullBath\n",
    "# HalfBath 浴室等级\n",
    "# Fireplaces 壁炉\n",
    "\n",
    "# MoSold 月销量\n",
    "# YrSold 年销量\n",
    "cols = [\"MSSubClass\",\"OverallQual\", \"OverallCond\", \"YearBuilt\", \"YearRemodAdd\", \"FullBath\", \"HalfBath\", \n",
    "         \"MoSold\", \"YrSold\"]\n",
    "for c in cols:\n",
    "    if c not in int_feats:\n",
    "        print(c)\n",
    "    else:\n",
    "        int_feats.remove(c)\n",
    "int_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cn+TfR3cu19fgXK3EK/2VstTDw0nWArSfe1r9vsa3JMed5LkMgf/hqvpkq14RYwOoqkeBGxmmPo5MsvdCarSPz/S/7T8C+BpLa1yvAF6T5MvAxximeN7D8h4TAFW1u/3cw/AGfQor6DU4Wysx9FfKUg/bgL13CGximA/fW39Bu8vgNOCx9t/U64BXJVnd7kR4VatbNBku6S8D7q6qPxvZtazHlmSiXeGT5HkMn1PczRD+57Vm08e1d7znATfUMDG8DTi/3QlzHHA88LkFGcQ0VXVxVa2vqg0M/2ZuqKo3sYzHBJDkBUm+Z2+Z4bVzB8v8NTiWxf5Q4WA8GD6B/xLDPOtvL3Z/DqC/HwUeBJ5gmCvczDA/uh24F/gn4KjWNgy/iOY/gNuBjSPH+QVgsj0uXALjeiXDfOptwK3tcfZyHxvwQ8AtbVx3AL/T6l/CEHCTwN8Ch7X6w9v2ZNv/kpFj/XYb7z3AWYv9d9b6dDrfvntnWY+p9f+L7XHn3jxY7q/BcR4uwyBJHVmJ0zuSpH0w9CWpI4a+JHXE0Jekjhj6ktQRQ18rRpKn2kqKX0zyhSQ/Mg/HPCnJ2SPbP59kqp3n1iRXJnlN9rOaa5LntNUb72grPn6+3cc+fRXIW/f2O8mnkzyatuKlNB9chkEryf9U1UkAbUnfdwE/PuYxTwI2Ap8aqbuqqt4yrd3+vgD4euDFwA9V1dNJ1gP/PbL/J6rqq9Oe8ycMC7r94qx7Le2DV/paqb4XeASGr9kn+Uy7ir4jyY+2+m8m+ZMMa+L/U5JTktyU5L529X4o8E7g9e25r5/pRO3q/y9a+UPtiv5f23H2fpt1LfBgVT0NUFW7quqRZxtAVW0HvjEffxjSXl7payV5Xlv58nCGkD2j1b+RYUngP0hyCMPVM8ALGJYPeFuSvwN+n2FJhROBK6pqW5LfYfhW5ltgCHiGN4FXtmO8h+Fbx6PWMnwb+QSG/wFczbAu/b+0N5ztwN9U1S0jz7kxyVPA41V16jz8WUgzMvS1koxO77wcuDLJDzKsx3R5W/zt76vq1tb+/4BPt/LtDIH7RJLbGX6/wb58x/ROeyMY9fftiv6uJGtguLJP8lKGN6IzgO1JXtuu5mHm6R1p3jm9oxWpqv4NOAaYqKrPMPx2st3Ah5Jc0Jo9Ud9eh+Rp4PH23KcZ74Lo8ZHyM+tIV9XjVfUPVfU24A+Bc8c4hzQnhr5WpCQnMPzqzK8l+X7g4ar6APBBhl9NeaC+wfCrHsftz8lJXtzKz2FYtO3+cY8rzZbTO1pJ9s7pw3CFvamqnsrwS0HeluQJ4JvABTM/fUY3Alvbcd81Rt9eBHwgyWFt+3PAXzzbE5L8M8PnAi9MsgvYXFXLczlfLRmusilJHXF6R5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjvw/pKdbbyoJ0JMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0dMzWVv/xJFuXoy9zlWR9kgeSPJpkf5IPtPKV0v+XJ3kwycOt/x9u5ecn2d36+al2UwFJzmzbk23/hqFz3dDKDyR56zJ1aV6SrErytST3tu0V0/8kTyR5JMmeJBOt7NT4/a8qlxEW4O8AFwH7hsr+HXB9W78e+P22fiXwJ0CAS4Ddrfxc4Jvt9Zy2fs5y920WfV8DXNTWXwX8b+CCFdT/AGe19TOA3a1fdwNXt/I/BP5JW/+nwB+29auBT7X1C4CHgTOB84FvAKuWu39z+Dn8C+AO4N62vWL6DzwBnHdc2Snx+7/sP5weFmDDceF+AFjT1tcAB9r6x4Brjq8HXAN8bKj8p+qdLgtwD4P5hFZc/4G/DHwVuJjBU4gva+VvAD7f1j8PvKGtv6zVC3ADcMPQuV6sd6ovDJ5huR+4DLi39Wcl9X+6cD8lfv8dllkcq6vqcFv/DrC6ra8Fnhqqd7CVnaj8tNH+iX0hg6vXFdP/NiSxBzgC7GJw1flMVb3Qqgz35cV+tv3PAq/hNO4/8O+B3wJ+3LZfw8rqfwF/muShNqUKnCK//35ZxyKrqkrS9f2mSc4CPgN8sKp+kOTFfb33v6qOApuSnA18Dnjd8rZo6ST5ZeBIVT2U5NJlbs5yeVNVHUrys8CuJF8f3rmcv/9euS+Op5OsAWivR1r5iaZlOG2na0hyBoNg/2RVfbYVr5j+H1NVzwAPMBiGODvJsQun4b682M+2/9XAdzl9+/9G4FeSPAHcxWBo5j+wcvpPVR1qr0cY/HHfzCny+2+4L46dwLFPvLcyGIs+Vv7u9qn5JcCz7Z9vnwfekuSc9sn6W1rZKS2DS/TbgMeq6qahXSul/2Ptip0kr2DwecNjDEL+7a3a8f0/9nN5O/CFGgyy7gSubneTnA9sBB5ckk6MoKpuqKp1VbWBwQekX6iqX2OF9D/JK5O86tg6g9/bfZwqv//L/YHE6b4AdwKHgf/HYKzsWgbjiPcDjwN/Bpzb6obBl5h8A3gEGB86zz8GJtvynuXu1yz7/iYGY457gT1tuXIF9f+XgK+1/u8D/nUr/3kG4TQJ/FfgzFb+8rY92fb//NC5frf9XA4Ab1vuvs3jZ3EpP7lbZkX0v/Xz4bbsB363lZ8Sv/9OPyBJHXJYRpI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7upRpZus8Qb1Lk/ytoe0PJTnUZvnbk+Qjrfx/JJn2y42T/HKbFfHhDGbIfO/JziUtBacfUK8+DvxH4BMz1LsUeA74X0NlN1fVH8zmTZKcyeDr0zZX1cG2vWE+55IWklfu6lJVfRH43nBZkn/erqz3JrmrTXb2PuA32pX1357NuZM8l+SjSR5mMAvkyxg8Rk9VPV9VBxa0M9I8GO5aSa4HLqyqXwLeV1VPMJhv/Oaq2lRV/7PV+42hoZTpvjjilQzm4n59+yOyE3gyyZ1Jfi3J8P9XM51LWhSGu1aSvcAnk/xD4IWT1DsW9puqaro5Po4ymCwNgKr6deByBo/U/0vg9jmcS1oUhrtWkr/HYG6Pi4CvDM1cOFd/UYOpfl9UVY9U1c0MJg/7+6M1Uxqd4a4VoQ2VrK+qB4DfZjDd7FnADxl8ReB8z3vWcXOZbwKenHdDpQXi3TLqUpI7GdwJc16Sg8C/Ad6V5NUMZue7paqeSfLfgE8n2QL8s/m8FfBbST4G/F/g/wD/aAG6II3EWSElqUMOy0hShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1KH/D7KQ+yoxppAwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Pt+XrF3UA85BkWZJvJLm1zS/ZsQIkeTTJA0nuS7Kr1Ub+87zkQn8JP+rhs8B5h9WuAHZU1QZgR5uHwdg3tNcW4JoR9XEhHQI+WlWnAWcCl7a/x6U65heAt1bVLwEbgfOSnAn8O+BTVfXzwDPAJa39JcAzrf6p1u7l5nLgoaH5pTzWSWdX1cahe/JH//NcVUvqBbwJuH1o/krgysXu1wKNbT2wd2j+YWB1m14NPNym/ytw8VTtXq4v4Bbg7T2MGfh7wNcZfFv9KWB5q7/0s83gDrg3tenlrV0Wu+9zGONaBiH3VuBWIEt1rENjfhQ45bDayH+el9yRPlM/6mHNIvXlWFtVVU+06e8Cq9r0kvozaL/OvxHYyRIeczvdcR9wENgOfAt4tqoOtSbDY3ppvG35c8CrR9rho/OHwG8B/6/Nv5qlO9ZJBXwlye72uBlYhJ/nH7vHMGh+qqqSLLn7b5OcCHwJ+EhVfT/JS8uW2pir6kVgY5KTgC8Dv7C4PTo2krwDOFhVu5OctcjdGaW3VNWBJD8NbE/yzeGFo/p5XopH+j096uHJJKsB2vvBVl8SfwZJjmMQ+J+vqptbeUmPGaCqngXuZHCK46Qkkwdnw2N6abxt+U8B3xttT+ftzcCvJHkUuJHBKZ7/xNIc60uq6kB7P8jgQ30Ti/DzvBRDv6dHPWwDNrfpzQzOe0/WP9DuADgTeG7oV8iXhQwO6a8DHqqqTw4tWpJjTrKyHeGT5CcZXL94iEH4v7s1O3y8k38O7wbuqHby98ddVV1ZVWuraj2Df593VNX7WYJjnZTkhCSvmpwGzgH2shg/z4t9ceMYXTC5APjfDM6J/qvF7s8CjekG4Angbxmc37uEwXnNHcAjwFeBk1vbMLiD6VvAA8DYYvd/HuN9C4NzoHuA+9rrgqU6ZuANwDfaePcCH2v1nwPuAcaB/w4c3+qvbPPjbfnPLfYY5jnus4Bbl/pY29jub699k7m0GD/PPoZBkjqyFE/vSJKmYehLUkcMfUnqiKEvSR0x9CWpI4a+lqQjPLXyHe3Jjvdn8ATPD89z+5NPTNyT5CtJ/sEC9Pn5o92GNBNv2dSS1L7cdUJVPd++2fs14DeBLwKbqmp/kuOB9VX18Dy2/yiDe6efSvJvgBOr6l/MYr3l9XfPlzl82fNVdeJc+yLNhUf6WpJqYPLI+bj2+hsGz5v6XmvzwmTgJ/lnSfa23wDuarUPJrk5yZ+1553/+2l2dxfw8+23iz9pvwF8I8nZQ9vZluQOYEeSE4fa7UnyTyc3lOTq1oe7k6yaZn/SvBn6WrIOf2plVe1k8PX2x5LckOT9SSb/DXwMOLcGz7P/laHNbATeC7weeG+S4eehTHoHg29NXsrg8+b1wMXA9Ule2dqcDry7qv4x8K8ZfK3+9VX1BuCO1uYE4O7Wh7uAXz/6PwXphxn6WrKq6sWq2sjgYVWbkvzDqvo14G0Mvs7/m8DW1vwvgM8m+XVg2dBmdlTVc1X1f4EHgZ8dWnZn+1D5+8C/ZfDoiP/W9v1N4DHgda3t9qp6uk3/EwZfsZ/s5zNt8m8YPFseYDeD/z9BWlA+WllLXlU9m+ROBv/z2N6qegB4IMmfAt8BPlhVv5HkDOCXgd1J/lFb/YWhTb3ID/+bObuqnpqcGX7s8xT+zyy6+rf1dxfZDt+XtCA80teSNM1TK7952PPbNzI4GifJa6tqZ1V9DJjghx9rO1t/Dry/be91wGsY/I9Hh9vO4FTQZF9XzGNf0rwY+lqqVjM4/bKHweO2twP/E/itJA+30zKfAD7Y2v+HdmF1L/C/GDwNca7+CPiJJA8wuEvog1X1whTtfg9YMXnhGDh7HvuS5sVbNiWpIx7pS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUkf8PgRoiAPIOvaoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in float_feats:\n",
    "    sns.distplot(df[c], kde=False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "# BsmtHalfBath,BsmtFullBath\n",
    "# 表示地下室全部作为浴室还是一半作为浴室\n",
    "# GarageYrBlt 车库建造年份\n",
    "# garageCars 车库可停车辆\n",
    "float_feats = get_feats(df, 'float64')\n",
    "col_f = [\"BsmtHalfBath\", \"BsmtFullBath\", \"GarageYrBlt\", \"GarageCars\"]\n",
    "for c in col_f:\n",
    "    float_feats.remove(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LotArea', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF', 'GrLivArea', 'BedroomAbvGr', 'KitchenAbvGr', 'TotRmsAbvGrd', 'Fireplaces', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'MiscVal']\n",
      "['MasVnrArea', 'BsmtFinSF1', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', 'GarageArea', 'SalePrice', 'LotFrontage1', 'TotalSF']\n"
     ]
    }
   ],
   "source": [
    "print(int_feats)\n",
    "print(float_feats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "float_feats.remove(\"SalePrice\")\n",
    "# 对偏态系数大的进行处理\n",
    "def get_skew_cols(df, cols,eps=0.75):\n",
    "    \"\"\"\n",
    "    获取偏态系数大于eps的列\n",
    "    \"\"\"\n",
    "    skew = []\n",
    "    for c in cols:\n",
    "        if abs(df[c].skew())> eps:\n",
    "            skew.append(c)\n",
    "    return skew\n",
    "skw = get_skew_cols(df, int_feats+float_feats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['LotArea',\n",
       " '1stFlrSF',\n",
       " '2ndFlrSF',\n",
       " 'LowQualFinSF',\n",
       " 'GrLivArea',\n",
       " 'KitchenAbvGr',\n",
       " 'TotRmsAbvGrd',\n",
       " 'WoodDeckSF',\n",
       " 'OpenPorchSF',\n",
       " 'EnclosedPorch',\n",
       " '3SsnPorch',\n",
       " 'ScreenPorch',\n",
       " 'PoolArea',\n",
       " 'MiscVal',\n",
       " 'MasVnrArea',\n",
       " 'BsmtFinSF1',\n",
       " 'BsmtFinSF2',\n",
       " 'BsmtUnfSF',\n",
       " 'TotalBsmtSF',\n",
       " 'LotFrontage1',\n",
       " 'TotalSF']"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DD97G5kmShm3TnX5VbWw/7wX+EjgCuGds2Kb9vLdV3wgsGtr9oFY2/pjnVNXyqlq+cOHCbWmeJGmcrQ79JE9LstfYOnAMcAOwGljZqq0EvtDWVwMnt3fxHAU8ODQMJEmaBdsyvLMf8JdJxo5zYVX9TZKrgUuTvBH4DvCaVn8NcBywHngEeMM2nFuStBW2OvSr6jbgsAnKvwccPUF5Aadu7fkkSdvOT+RKUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOLJjrBkiaOxdeeeeE5a898uBZbolmi3f6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOzHvpJViS5Jcn6JKfN9vklqWezGvpJdgU+BrwCWAqclGTpbLZBkno223f6RwDrq+q2qvon4GLg+FlugyR1a7Y/kXsgsGHo8V3AkcMVkqwCVrWHDye5ZRvOty9w3zbsv6PYWfoBrS+vm+tWzIyd7rqMPZjH12envSbTdMhkG3a4aRiq6hzgnJk4VpJ1VbV8Jo41l3aWfoB92VHtLH3ZWfoB268vsz28sxFYNPT4oFYmSZoFsx36VwNLkhyaZHfgRGD1LLdBkro1q8M7VfVYkrcBlwG7AudW1Y3b8ZQzMky0A9hZ+gH2ZUe1s/RlZ+kHbKe+pKq2x3ElSTsgP5ErSR0x9CWpI/M+9Kea1iHJHkkuaduvTLJ4Dpo5khH6ckqSzUmubcub5qKdU0lybpJ7k9wwyfYkOav187okh892G0c1Ql9emuTBoWvyh7PdxlEkWZTkS0luSnJjkrdPUGdeXJcR+zJfrstTklyV5B9bX94zQZ2ZzbCqmrcLgxeDvw08E9gd+Edg6bg6bwU+0dZPBC6Z63ZvQ19OAT46120doS8vAQ4Hbphk+3HAXwMBjgKunOs2b0NfXgp8ca7bOUI/9gcOb+t7Ad+a4N/XvLguI/ZlvlyXAHu29d2AK4GjxtWZ0Qyb73f6o0zrcDxwflv/LHB0ksxiG0e100xRUVVfAe7fQpXjgQtq4Apg7yT7z07rpmeEvswLVbWpqr7R1h8CbmbwCflh8+K6jNiXeaH9rh9uD3dry/h318xohs330J9oWofxF/+JOlX1GPAg8POz0rrpGaUvAP++/en92SSLJtg+H4za1/nihe3P879O8py5bsxU2vDA8xjcVQ6bd9dlC32BeXJdkuya5FrgXmBtVU16XWYiw+Z76PfmfwKLq+pXgLX87Nlfc+cbwCFVdRjwZ8BfzW1ztizJnsDngHdU1Q/muj3bYoq+zJvrUlWPV9UyBjMUHJHkudvzfPM99EeZ1uGJOkkWAE8HvjcrrZueKftSVd+rqkfbw08Bz5+lts20nWY6jqr6wdif51W1Btgtyb5z3KwJJdmNQUh+pqo+P0GVeXNdpurLfLouY6rqAeBLwIpxm2Y0w+Z76I8yrcNqYGVbPwH4P9VeEdnBTNmXceOrr2IwljkfrQZObu8WOQp4sKo2zXWjtkaSXxgbX01yBIP/UzvcTUVr46eBm6vqQ5NUmxfXZZS+zKPrsjDJ3m39qcDLgW+OqzajGbbDzbI5HTXJtA5J3gusq6rVDP5x/EWS9QxekDtx7lo8uRH78ttJXgU8xqAvp8xZg7cgyUUM3j2xb5K7gDMYvEBFVX0CWMPgnSLrgUeAN8xNS6c2Ql9OAH4ryWPAj4ATd9CbihcBrweub+PHAKcDB8O8uy6j9GW+XJf9gfMz+IKpXYBLq+qL2zPDnIZBkjoy34d3JEnTYOhLUkcMfUnqiKEvSR0x9CWpI4a+5qUkDw+tH5fkW0kOSfKWJCe38lOSHDDFcU5J8tEZbttfJbliXNl5SU6Y5nFWtBkYv9lmirwkycEz2Vb1Z16/T19KcjRwFnBsVX0H+MTQ5lOAG4DvzmJ79mbwSemHkzyzqm7byuM8l8H0Aa+qqptb2auAxcCd4+ouaHOySFPyTl/zVpKXAJ8EXllV325lZyb5nXZXvRz4TLtLfmqSFyT5WpuE66oke7VDHZDkb5LcmuQDQ8c/JsnXk3wjyf9oc72Q5I4k72nl1yf5paFm/TsGcyRdzJM/RPOyJOvaXyWvbMe6YngysCRfTrIceDfwn8cCH6CqVrdZP8fq/dck64AnzScvTcbQ13y1B4NJtF5dVeM/tk5VfRZYB7yuTWb1OHAJ8PY2CdfLGHxSE2AZ8JvAvwR+M4Mv6dgX+APgZVV1eDvWO4dOcV8rPxv4naHyk4CL2nLSuGYtZjCF9q8Dn0jylNam18AT02zsX1XrgOcwmDRsS3avquVV9cEp6klPMPQ1X/0E+BrwxhHr/wtgU1VdDU9MyDU2JHJ5VT1YVT8GbgIOYfAlIkuBv28f9V/ZyseMTfJ1DYMwJ8l+wBLgq1X1LeAn42ZMvLSqflpVtwK3Ab8EXMpgygAYhP9nxzc8yc+3v1a+lWT4CeaSEfsuPcHQ13z1UwYheUSS07fxWI8OrT/O4LWuMJjbfFlbllbVGyfYZ6w+rT37ALcnuYPBk8Hw3f74OU+qqjYC30vyKwz+2hgL8hsZfGPX2Oyqy4BzgD2H9v/hNPspGfqav6rqEQZDJa9LMtEd/0MMvk4P4BZg/yQvAEiyVwbT1E7mCuBFSX6x1X9akmdP0aSTgBVVtbiqFjN4QXd4XP8/JNklybMYfC3mLa38EuB3gadX1XWt7APA7yf55aH9/9kU55em5Lt3NK9V1f1JVgBfSbJ53ObzGIyd/wh4IYM76T9rU9j+iMG4/mTH3ZzkFOCiJHu04j9g8H2sT5LBNzgdwuDJYuwYt2fw5dxHtqI7gauAnwPe0oaTYDCk8xHgfUP7Xp/BF35fkOTngPva/mds4dchTclZNiWpIw7vSFJHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUkf8HUQGHjR1cqykAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TnDbf7dlQks8nWZvkxpGynZNcluSO9nOnVp4kn2l9uT7JQSPPOaHVvyPJCXPch72SXJnk5iQ3JTllTPuxXZLvJrmu9eOjrXyfJCtbey9oJwGQZNu2vrptXz6yr9Nb+W1Jfnsu+9GOvyjJNUkuHdc+tDbcneSGJNcmWdXKxu11tSTJRUluTXJLksMWTB+qaiwfDB/W3gm8EtgGuA7Yf77btUEbfxM4CLhxpOyTwGlt+TTgE235aOBvgACHAitb+c7AXe3nTm15pznsw+7AQW355cDtwP5j2I8AO7TllwArW/suBI5r5X8BvKctvxf4i7Z8HHBBW96/vda2BfZpr8FFc/y6+iBwPnBpWx+7PrR23A3sukHZuL2uzgV+ty1vAyxZKH2Y03/MWf6lHgZ8Y2T9dOD0+W7XBO1czovD/TZg97a8O3BbW/4s8I4N6wHvAD47Uv6ievPQn4sZ7hs0tv0AXgZcDRzCcMXg4g1fUwxnex3Wlhe3etnwdTZab47avgy4HHgDcGlr01j1YeS4d/Pz4T42rytgR+D7tBNTFlofxnlaZk/gvpH1Na1sodutqh5syw8Bu7XlyfqzYPrZ/qw/kGHUO3b9aNMZ1wJrgcsYRqyPV9WzE7Tphfa27U8AuzD//TgTOBV4vq3vwvj1Yb0Cvpnkqgy3I4Hxel3tA6wD/rJNk30uyfYskD6Mc7iPvRrepsfiXNQkOwBfAz5QVU+ObhuXflTVc1V1AMPo92DgVfPboplJ8mZgbVVdNd9tmSWvraqDgKOA9yX5zdGNY/C6Wsww7XpWVR0IPMMwDfOC+ezDOIf7uN7m4OEkuwO0n2tb+WT9mfd+JnkJQ7CfV1Vfb8Vj14/1qupx4EqGKYwlSdZfzDfaphfa27bvCDzK/PbjcOAtSe4GvsIwNfNpxqsPL6iq+9vPtcB/Z3jDHafX1RpgTVWtbOsXMYT9gujDOIf7uN7m4BJg/afhJzDMYa8vf3f7RP1Q4In2p903gN9KslP71P23WtmcSBLgHOCWqvqzkU3j1o+lSZa05ZcyfG5wC0PIHztJP9b371jgijYKuwQ4rp2Jsg+wH/DduehDVZ1eVcuqajnD6/2KqnrnOPVhvSTbJ3n5+mWG18ONjNHrqqoeAu5L8kut6AiGW5svjD7M9Ycos/yBxtEMZ2/cCXx4vtszQfu+DDwI/JThXf4khjnPy4E7gP8F7NzqhuFLTu4EbgBWjOznd4DV7XHiHPfhtQx/Vl4PXNseR49hP14NXNP6cSPwkVb+SoZgWw18Fdi2lW/X1le37a8c2deHW/9uA46ap9fW6/jZ2TJj14fW5uva46b1/3/H8HV1ALCqva7+B8PZLguiD95+QJI6NM7TMpKkSRjuktQhw12SOmS4S1KHDHdJ6pDhrrGQZJd298BrkzyU5P6R9W02qPuBJC+bxj6/lWRFWx69Q+ENSY6ZhTYvT3L8yPrLkpzX9n9jkm+3K39J8txIf67NyB0cpU0x61+zJ20JVfUowznFJPl3wNNV9aeTVP8A8CXghzM8zOur6pF2Uco3+dnFJ5tqOXA8wx0cAU4BHq6qXwVox/lp2/ajGm6NIM0KR+4aW0mOaDdsuiHDvfO3TfJ7wB7AlUmubPXOSrIqI/dxn8IrgMfac7dP8lcZ7gN/Y5J/2srvTvIf2yh7VZKDknwjyZ1J/mXbz8eB32h1fp/hDoAvXFZeVbdV1U9m7zci/Ywjd42r7YAvAEdU1e1JvshwH/Mzk3yQNgpvdT9cVT9Isgi4PMmrq+r6CfZ5ZbvdwiuBt7eyI4EHqupNAEl2HKl/b1UdkOSM1pbDW7tuZLiv+mnAh6rqze25BzDcBfFYhisYz62qO9q+XprhjpUA36+qf7LpvxrJkbvG1yKGELy9rZ/L8OUoE3l7kqsZbj/wDxm+rGIir6+qXwF+FfjzNh9+A/DGJJ9I8htV9cRI/fX3MrqB4YsXnqqqdcBP1t/HZlRVXcvwxvEphi9m+F6SX26bf1RVB7SHwa7NZrira+3GWB9iGOG/GvgrhtH1pKrqTuBhhm/2up3hTn83AB9L8pGRquunVJ4fWV6/PuFfxVX1dFV9varey/C5wNEz75U0NcNd4+o5YHmSfdv6u4C/bctPMXwlIAzz588ATyTZjeHe4RuV5O8xfBHDPUn2AH5YVV9iGHEftNEnv9hoO0hyeH72fZrbMPwFcc8M9idNm3PuGlc/Bk4EvprhXuXfY5jnBjgb+J9JHqiq1ye5BriV4dtu/m4j+7wyyXMM37F6WlU9nOHLoz+V5HmGM1veM4M2Xg88l+Q6hjn5R4Gz2rz+LzD8FfG1GexPmjbvCilJHXJaRpI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDv1/uwP3NgvtRQ8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in skw:\n",
    "    sns.distplot(df[c], kde=False)\n",
    "    plt.title(c)\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 剔出离散数据和没有相关属性占多数的特征\n",
    "# ['KitchenAbvGr','TotRmsAbvGrd']\n",
    "skw = get_skew_cols(df, int_feats+float_feats)\n",
    "skw.remove(\"KitchenAbvGr\")\n",
    "skw.remove(\"TotRmsAbvGrd\")\n",
    "skw.remove(\"2ndFlrSF\")\n",
    "skw.remove(\"LowQualFinSF\")\n",
    "skw.remove(\"WoodDeckSF\")\n",
    "skw.remove(\"EnclosedPorch\")\n",
    "skw.remove(\"3SsnPorch\")\n",
    "skw.remove(\"ScreenPorch\")\n",
    "skw.remove(\"PoolArea\")\n",
    "skw.remove(\"MiscVal\")\n",
    "skw.remove(\"MasVnrArea\")\n",
    "skw.remove(\"BsmtFinSF1\")\n",
    "skw.remove(\"BsmtFinSF2\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in skw:\n",
    "    sns.distplot(df[c], kde=False)\n",
    "    plt.title(c)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用box-cos 进行偏态数据处理\n",
    "from scipy.special import boxcox1p\n",
    "lam = 0.1\n",
    "for feat in skw:\n",
    "    df[feat] = boxcox1p(df[feat], lam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9hqr67CzHnwY+fnSnqt7CzBpGXwT+GLh+Ea8ljYThrpXk14GPAS8F7uq+zKUf/1tVP7LcclV9pao+AryCCVxBUO0x3LUidFMla6vqc8C7gecAzwK+Bzx7gNd9VpKNPU0bmFloShorr5ZRk3pX+ktyAHg/8LokzwECfLSqvp3kX4B/SrIJ+IN+3gp4V5K/A/4H+G/gDUPogjQQV4WUpAY5LSNJDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoP+D1vJzpqdfMp3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feat in skw:\n",
    "    sns.distplot(df[feat],kde=False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数值类别转字符串"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "# YearBuilt建造年份\n",
    "# YearRemodAdd重塑年份\n",
    "# GarageYrBlt 车库建造年份\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "cols= ['GarageYrBlt','YearRemodAdd', 'GarageYrBlt']\n",
    "for c in cols:\n",
    "    sns.distplot(df[[c]])\n",
    "    plt.title(c)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "def num_to_str(df, cols):\n",
    "    for c in cols:\n",
    "        df[c] = df[c].astype(str)\n",
    "num_to_str(df, cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GarageYrBlt     object\n",
       "YearRemodAdd    object\n",
       "GarageYrBlt     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[cols].dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 类别特征数值化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df = pd.get_dummies(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>...</th>\n",
       "      <th>SaleType_ConLw</th>\n",
       "      <th>SaleType_New</th>\n",
       "      <th>SaleType_Oth</th>\n",
       "      <th>SaleType_WD</th>\n",
       "      <th>SaleCondition_Abnorml</th>\n",
       "      <th>SaleCondition_AdjLand</th>\n",
       "      <th>SaleCondition_Alloca</th>\n",
       "      <th>SaleCondition_Family</th>\n",
       "      <th>SaleCondition_Normal</th>\n",
       "      <th>SaleCondition_Partial</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60</td>\n",
       "      <td>14.699651</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.515727</td>\n",
       "      <td>9.647083</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>15.016794</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.598858</td>\n",
       "      <td>10.423978</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60</td>\n",
       "      <td>15.416697</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.358996</td>\n",
       "      <td>9.789096</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>70</td>\n",
       "      <td>15.003735</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.763754</td>\n",
       "      <td>9.404819</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60</td>\n",
       "      <td>16.026454</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.582671</td>\n",
       "      <td>10.226394</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2915</th>\n",
       "      <td>160</td>\n",
       "      <td>11.316356</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.784461</td>\n",
       "      <td>8.784461</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2916</th>\n",
       "      <td>160</td>\n",
       "      <td>11.269678</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.659654</td>\n",
       "      <td>8.784461</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2917</th>\n",
       "      <td>20</td>\n",
       "      <td>16.921867</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1960</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1224.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.361680</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2918</th>\n",
       "      <td>85</td>\n",
       "      <td>15.227741</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1992</td>\n",
       "      <td>0.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.881750</td>\n",
       "      <td>9.771840</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2919</th>\n",
       "      <td>60</td>\n",
       "      <td>15.023820</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1993</td>\n",
       "      <td>94.0</td>\n",
       "      <td>758.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.291784</td>\n",
       "      <td>9.946629</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2919 rows × 470 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      MSSubClass    LotArea  OverallQual  OverallCond  YearBuilt  MasVnrArea  \\\n",
       "Id                                                                             \n",
       "1             60  14.699651            7            5       2003       196.0   \n",
       "2             20  15.016794            6            8       1976         0.0   \n",
       "3             60  15.416697            7            5       2001       162.0   \n",
       "4             70  15.003735            7            5       1915         0.0   \n",
       "5             60  16.026454            8            5       2000       350.0   \n",
       "...          ...        ...          ...          ...        ...         ...   \n",
       "2915         160  11.316356            4            7       1970         0.0   \n",
       "2916         160  11.269678            4            5       1970         0.0   \n",
       "2917          20  16.921867            5            7       1960         0.0   \n",
       "2918          85  15.227741            5            5       1992         0.0   \n",
       "2919          60  15.023820            7            5       1993        94.0   \n",
       "\n",
       "      BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  ...  SaleType_ConLw  \\\n",
       "Id                                                    ...                   \n",
       "1          706.0         0.0   6.515727     9.647083  ...               0   \n",
       "2          978.0         0.0   7.598858    10.423978  ...               0   \n",
       "3          486.0         0.0   8.358996     9.789096  ...               0   \n",
       "4          216.0         0.0   8.763754     9.404819  ...               0   \n",
       "5          655.0         0.0   8.582671    10.226394  ...               0   \n",
       "...          ...         ...        ...          ...  ...             ...   \n",
       "2915         0.0         0.0   8.784461     8.784461  ...               0   \n",
       "2916       252.0         0.0   7.659654     8.784461  ...               0   \n",
       "2917      1224.0         0.0   0.000000    10.361680  ...               0   \n",
       "2918       337.0         0.0   8.881750     9.771840  ...               0   \n",
       "2919       758.0         0.0   7.291784     9.946629  ...               0   \n",
       "\n",
       "      SaleType_New  SaleType_Oth  SaleType_WD  SaleCondition_Abnorml  \\\n",
       "Id                                                                     \n",
       "1                0             0            1                      0   \n",
       "2                0             0            1                      0   \n",
       "3                0             0            1                      0   \n",
       "4                0             0            1                      1   \n",
       "5                0             0            1                      0   \n",
       "...            ...           ...          ...                    ...   \n",
       "2915             0             0            1                      0   \n",
       "2916             0             0            1                      1   \n",
       "2917             0             0            1                      1   \n",
       "2918             0             0            1                      0   \n",
       "2919             0             0            1                      0   \n",
       "\n",
       "      SaleCondition_AdjLand  SaleCondition_Alloca  SaleCondition_Family  \\\n",
       "Id                                                                        \n",
       "1                         0                     0                     0   \n",
       "2                         0                     0                     0   \n",
       "3                         0                     0                     0   \n",
       "4                         0                     0                     0   \n",
       "5                         0                     0                     0   \n",
       "...                     ...                   ...                   ...   \n",
       "2915                      0                     0                     0   \n",
       "2916                      0                     0                     0   \n",
       "2917                      0                     0                     0   \n",
       "2918                      0                     0                     0   \n",
       "2919                      0                     0                     0   \n",
       "\n",
       "      SaleCondition_Normal  SaleCondition_Partial  \n",
       "Id                                                 \n",
       "1                        1                      0  \n",
       "2                        1                      0  \n",
       "3                        1                      0  \n",
       "4                        0                      0  \n",
       "5                        1                      0  \n",
       "...                    ...                    ...  \n",
       "2915                     1                      0  \n",
       "2916                     0                      0  \n",
       "2917                     0                      0  \n",
       "2918                     1                      0  \n",
       "2919                     1                      0  \n",
       "\n",
       "[2919 rows x 470 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 建模预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = house_df[house_df['SalePrice'].notnull()]\n",
    "test = house_df[house_df['SalePrice'].isnull()]\n",
    "\n",
    "test.drop(\"SalePrice\", axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = train.drop(\"SalePrice\", axis=1)\n",
    "y = train[\"SalePrice\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import ElasticNet, Lasso\n",
    "from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import RobustScaler\n",
    "from sklearn.base import BaseEstimator, TransformerMixin, RegressorMixin,clone\n",
    "from sklearn.model_selection import KFold, train_test_split, cross_val_score\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.kernel_ridge import KernelRidge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(y, shade=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.8828757597682129"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.skew()# 偏态分布，右偏"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      1460.000000\n",
       "mean     180921.195890\n",
       "std       79442.502883\n",
       "min       34900.000000\n",
       "25%      129975.000000\n",
       "50%      163000.000000\n",
       "75%      214000.000000\n",
       "max      755000.000000\n",
       "Name: SalePrice, dtype: float64"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.12133506220520406"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.log(y).skew()# 对y值取对数使其接近正太分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Lasso score: 0.1238 (0.0187)\n",
      "\n",
      "ElasticNet score: 0.1240 (0.0187)\n",
      "\n",
      "Kernel Ridge score: 0.2395 (0.0163)\n",
      "\n",
      "Gradient Boosting score: 0.1249 (0.0131)\n",
      "\n",
      "Xgboost score: 0.1210 (0.0100)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "n_folds = 5\n",
    "def rmsle_cv(model,x=x,y=np.log(y)):\n",
    "    kf = KFold(n_folds, shuffle=True, random_state=6).get_n_splits(x)\n",
    "    rmse = np.sqrt(-cross_val_score(\n",
    "        model, x,y, cv=kf,scoring=\"neg_mean_squared_error\"\n",
    "    ))\n",
    "    return rmse\n",
    "\n",
    "ENet = make_pipeline(RobustScaler(), ElasticNet(alpha=0.0005, l1_ratio=.9, random_state=3))\n",
    "lasso = make_pipeline(RobustScaler(), Lasso(alpha =0.0005, random_state=1))\n",
    "KRR = KernelRidge(alpha=0.6, kernel='polynomial', degree=2, coef0=2.5)\n",
    "GBoost = GradientBoostingRegressor(n_estimators=3000, learning_rate=0.05,\n",
    "                                   max_depth=4, max_features='sqrt',\n",
    "                                   min_samples_leaf=15, min_samples_split=10, \n",
    "                                   loss='huber', random_state =5)\n",
    "model_xgb = xgb.XGBRegressor(colsample_bytree=0.4603, gamma=0.0468, \n",
    "                             learning_rate=0.05, max_depth=3, \n",
    "                             min_child_weight=1.7817, n_estimators=2200,\n",
    "                             reg_alpha=0.4640, reg_lambda=0.8571,\n",
    "                             subsample=0.5213,\n",
    "                             nthread = -1)\n",
    "score = rmsle_cv(lasso)\n",
    "print(\"\\nLasso score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n",
    "score = rmsle_cv(ENet)\n",
    "print(\"ElasticNet score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n",
    "score = rmsle_cv(KRR)\n",
    "print(\"Kernel Ridge score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n",
    "score = rmsle_cv(GBoost)\n",
    "print(\"Gradient Boosting score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n",
    "score = rmsle_cv(model_xgb)\n",
    "print(\"Xgboost score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Averaged base models score: 0.1251 (0.0136)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "class AveragingModels(BaseEstimator, RegressorMixin, TransformerMixin):\n",
    "    def __init__(self, models):\n",
    "        self.models = models\n",
    "        \n",
    "    def fit(self, X, y):\n",
    "        self.models_ = [clone(x) for x in self.models]\n",
    "        \n",
    "        for model in self.models_:\n",
    "            model.fit(X, y)\n",
    "\n",
    "        return self\n",
    "    \n",
    "    def predict(self, X):\n",
    "        predictions = np.column_stack([\n",
    "            model.predict(X) for model in self.models_\n",
    "        ])\n",
    "        return np.mean(predictions, axis=1)   \n",
    "averaged_models = AveragingModels(models = (model_xgb, GBoost, KRR, ENet,lasso))\n",
    "score = rmsle_cv(averaged_models)\n",
    "print(\" Averaged base models score: {:.4f} ({:.4f})\\n\".format(score.mean(), score.std()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "averaged_models.fit(x,np.log(y))\n",
    "pred = np.exp(averaged_models.predict(test))\n",
    "result=pd.DataFrame({'Id':test[:].index,'SalePrice':pred})\n",
    "result.to_csv('./house/submission.csv',index=False)\n",
    "# 提交结果0.15210"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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